October 2018
Intermediate to advanced
472 pages
10h 57m
English
Overview
Python Deep Learning Projects guides you through 9 hands-on projects that reveal the fascinating world of neural networks and deep learning. You will explore practical applications such as natural language processing, computer vision, and AI-powered systems, mastering skills to develop real-world intelligent systems.
What this Book will help me do
- Learn to set up a deep learning development environment on AWS including GPU-powered instances.
- Master building text classifiers and question-answering systems using seq-to-seq models.
- Implement advanced deep learning techniques like bidirectional RNNs and gradient normalization.
- Develop practical skills in using TensorFlow and OpenCV for tasks like image captioning.
- Apply deep reinforcement learning to create autonomous agents.
Author(s)
None Lamons, None Kumar, and None Nagaraja are experienced professionals in artificial intelligence and deep learning. They have extensive backgrounds in developing real-world AI systems and are committed to delivering knowledge through practical projects. Their approachable writing style ensures accessibility for readers of all levels.
Who is it for?
This book is ideal for software engineers, data scientists, and AI enthusiasts who are eager to delve into deep learning and enhance their expertise. If you have a foundational knowledge of Python and seek real-world deep learning project experience, this book is for you. Whether you're a professional or a learner exploring AI, this book guides you through significant milestones in your journey.
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